Installing and configuring the Open-Reasoner-Zero development environment involves the following key steps:
- Basic Dependency Installation::
- Ensure that the system has Git, Python 3.8+ and NVIDIA GPU drivers installed (CUDA support)
- Recommended installation of Docker (version 20.10 or higher)
- Project Clone: Download the project locally using the git clone command
- Docker environment configuration::
- Build the image using the provided Dockerfile: docker build -t open-reasoner-zero -f docker/Dockerfile .
- Start the container: docker run -it -gpus all open-reasoner-zero bash
- Manual Installation Options(when not using Docker):
- Install all dependencies in requirements.txt using pip
- Ensure key components such as OpenRLHF, vLLM, DeepSpeed and Ray are installed
Note: It is recommended to use a GPU with at least 24GB of video memory (e.g., NVIDIA A100) for best performance, especially if you need to train the Qwen2.5-32B model.
This answer comes from the articleOpen-Reasoner-Zero: Open Source Large-Scale Reasoning Reinforcement Learning Training PlatformThe
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